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Animal Food Demand in Indonesian Rural: A Quadratic Almost Ideal Demand System Approach Nikmatul Khoiriyah; Ratya Anindita; Nuhfil Hanani; Abdul Wahib Muhaimin
Wacana Journal of Social and Humanity Studies Vol. 22 No. 2 (2019)
Publisher : Sekolah Pascasarjana Universitas Brawijaya

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Abstract

It is estimated that the protein consumption in Indonesia will increase up to 90 % in 2030. The objective of this study was to analyze the effect of price, income, and socio-demographic variables on demand for animal food in rural households in Indonesia. The demand estimation is using a Quadratic Almost Ideal Demand System. The research used  Susenas 2016 data from 131,975 households. The results of the study confirmed that animal food is elastic, except the eggs. Beef is more sensitive to the household income changing. The increasing of household income increase beef and milk consumption. When the price of beef increases, the household consume the other protein resource (chicken, fish, and eggs) as substitutions. The increase of 1% beef price increase chicken, fish and milk consumption by  0.17%, 0.13%, 0.05% respectively. The increase of income followed by milk price decreasing increase chicken and fish consumption by 0.14% and 0.04%. The increase of one person household member decrease consumption of egg, meat, and milk for 0.33%,  0.01%, and 0.05 %.
Animal Food Demand in Indonesian Rural: A Quadratic Almost Ideal Demand System Approach Nikmatul Khoiriyah; Ratya Anindita; Nuhfil Hanani; Abdul Wahib Muhaimin
Wacana Journal of Social and Humanity Studies Vol. 22 No. 2 (2019)
Publisher : Sekolah Pascasarjana Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

It is estimated that the protein consumption in Indonesia will increase up to 90 % in 2030. The objective of this study was to analyze the effect of price, income, and socio-demographic variables on demand for animal food in rural households in Indonesia. The demand estimation is using a Quadratic Almost Ideal Demand System. The research used  Susenas 2016 data from 131,975 households. The results of the study confirmed that animal food is elastic, except the eggs. Beef is more sensitive to the household income changing. The increasing of household income increase beef and milk consumption. When the price of beef increases, the household consume the other protein resource (chicken, fish, and eggs) as substitutions. The increase of 1% beef price increase chicken, fish and milk consumption by  0.17%, 0.13%, 0.05% respectively. The increase of income followed by milk price decreasing increase chicken and fish consumption by 0.14% and 0.04%. The increase of one person household member decrease consumption of egg, meat, and milk for 0.33%,  0.01%, and 0.05 %.
PENGEMBANGAN LEMBAR KERJA SISWA (LKS) FISIKA BERBASIS PENEMUAN TERBIMBING BERBANTUAN SIMULASI KOMPUTER Nikmatul Khoiriyah; Agus Suyatna; I Dewa Putu Nyeneng
Jurnal Pembelajaran Fisika Vol 1, No 6 (2013): Jurnal Pembelajaran Fisika
Publisher : Jurnal Pembelajaran Fisika

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Abstract

The Purpose of development is to make worksheet based guided discovery, knowing learning outcomes and responses’s students on the worksheet. The Development procedures that used are: 1) identification of needs, 2) the development design formulation and tool for measuring success, 3) product development, 4) product trials, 5) revision and product ready. The research’s result is worksheet shaped practical instructions for PhET simulation’s program of Ohm's law and Kirchoff's law 1 experiments. Worksheet effective because 84.2% students completed the test. The average of students’s learning outcomes is 87 with standard deviation of 11. Student performance is very good with a percentage of 93.02%. Attitude of students during learning process using worksheet is very positive with percentage of 82.83%. Based on test result got attractiveness score is 3,17 and easiness score is 3,05 so worksheets attractive and easy used by students.Tujuan pengembangan ini adalah membuat LKS berbasis penemuan terbimbing, mengetahui hasil belajar siswa dan tanggapan siswa terhadap LKS tersebut. Prosedur pengembangan yang digunakan antara lain: 1) identifikasi kebutuhan, 2) perumusan desain pengembangan dan alat ukur keberhasilan, 3) pengembangan produk, 4) uji coba produk, 5) revisi dan produk siap. Hasil penelitian berupa LKS berbentuk petunjuk praktikum sebagai panduan program simulasi PhET, percobaan hukum Ohm dan hukum 1 Kirchoff. LKS efektif karena 84,2 % siswa tuntas. Rata-rata hasil belajar adalah 87 dengan simpangan baku sebesar 11. Keterampilan siswa sangat baik dengan persentase sebesar 93,02 %. Sikap siswa selama pembelajaran menggunakan LKS sangat positif dengan persentase sebesar 82,83 %. Berdasarkan hasil uji diperoleh skor kemenarikan 3,17 dan skor kemudahan 3,05 sehingga LKS menarik dan mudah digunakan oleh siswa.Kata kunci: pengembangan, lembar kerja siswa, penemuan terbimbing
Income Risk and the Decision on Onion Farming Sri Hindarti; Lia Rohmatul Maula; Nikmatul Khoiriyah
SOCA: Jurnal Sosial Ekonomi Pertanian Vol 15 No 1 (2021): Vol.15, No.1, 2021
Publisher : Program Studi Agribisnis, Fakultas Pertanian, Universitas Udayana Jalan PB.Sudirman Denpasar, Bali, Indonesia. Telp: (0361) 223544 Email: soca@unud.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/SOCA.2021.v15.i01.p18

Abstract

The onion cultivation often faced various risks caused by many factors, so farmers need to make the right decision to start onion cultivation by paying attention to these risks. Therefore, this research was conducted with the aim of 1) analyzing the income risk faced by farmers in developing onion farming, 2) knowing the factors that affect the farming risk, 3) knowing the factors that influence farmers' decisions in planting onion. The research was conducted in Purworejo Village for 4 months with 30 onion farmers as the sample. To analyze the income risk faced by farmers in developing onion farming, it was done by calculating the coefficient of variation (CV). Minimum income was calculated by the residual formula of the squared income function and to determine the factors that influence farming income and farmers' decisions in planting onion, multiple linear regression analysis was performed. The research showed that the risk of onion farming income was quite high, reached 79.72% and the factors that influence were land area, total production, selling price, and production costs. Meanwhile, the factors that influence the decision making of onion farmers were education, age, and farmer experience.
Pengaruh Pelatihan Terhadap Kinerja Karyawan Dengan Kemampuan Kerja Sebagai Variabel Intervening Pada PDAM Kota Malang Nikmatul Khoiriyah; N Rachma; Alfian Budi Primanto
E-JRM : Elektronik Jurnal Riset Manajemen eJrm Vol. 10 No. 10 Agustus 2021
Publisher : UNIVERSITAS ISLAM MALANG

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Abstract

AbstractThis study aims to test the training on employee performance through the work ability of PDAM Malang City Jl. Sentani Lake Canal No. 100, Madyopuro. This study uses a quantitative method with an explanatory research approach. The number of samples in this study was 76 respondents. The analysis technique uses Path Analysis. The results of the study state that (1) Training has a significant direct effect on employee performance, (2) training has a significant direct effect on work ability, (3) work ability has a significant direct effect on employee performance, (4) training has an indirect effect on employee performance through ability work as an intervening variable.  Keywords: Training, Work Ability and Employee Performance
ANALISIS KLASIFIKASI KELULUSAN SISWA MENGGUNAKAN METODE KNN (K-NEAREST NEIGHBOR) RANDOM FOREST PADA DATASET "STUDENTS PERFORMANCE" Muhammad Rizki Arrohman; Nikmatul Khoiriyah; Arina Fawaida; Diana Laily Fithri
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 6 No. 2 (2025): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v6i2.9102

Abstract

Keberhasilan siswa menjadi indikator penting dalam menilai kualitas sistem pendidikan. Oleh karena itu, prediksi kelulusan siswa berdasarkan data demografis dan akademik sangat penting untuk membantu institusi pendidikan melakukan tindakan pencegahan. Tujuan dari penelitian ini adalah untuk menganalisis dan membandingkan kinerja dua algoritma klasifikasi, K-Nearest Neighbor (KNN) dan Random Forest, ketika digunakan untuk memprediksi kelulusan siswa. Dataset kinerja siswa mencakup informasi seperti jenis kelamin, kelompok etnis, pendidikan orang tua, status makan siang, program persiapan ujian, matematika, membaca, dan nilai ujian menulis. Nilai rata-rata dari ketiga mata pelajaran tersebut digunakan untuk menentukan kelulusan siswa. Hasil penelitian menunjukkan bahwa algoritma Random Forest memiliki akurasi 100% dan KNN memiliki akurasi 90%. Hasil penelitian ini diharapkan dapat digunakan sebagai referensi dalam pengembangan sistem pendukung keputusan berbasis data di bidang pendidikan
ANALISIS DATA TREN HIJAB DI INDONESIA DENGAN MODEL DECISION TREE Fadina Salwa Aulia Putri; Arina Fawaida; Nikmatul Khoiriyah; Muhammad Rizki Arrohman; Arif Setiawan
Jurnal Mahasiswa Sistem Informasi (JMSI) Vol. 6 No. 2 (2025): Jurnal Mahasiswa Sistem Informasi (JMSI)
Publisher : Program Studi DIII Sistem Informasi - Universitas Muhammadiyah Metro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/jmsi.v6i2.9190

Abstract

Penelitian ini membahas penerapan algoritma Decision Tree dalam menganalisis data tren hijab di Indonesia. Dataset yang digunakan merupakan data fiktif yang dirancang menyerupai kondisi pasar nyata, dengan atribut meliputi bahan, warna, panjang, dan motif hijab, serta target klasifikasi berupa jenis hijab: instan, pashmina, segi empat, dan turban. Proses penelitian mencakup tahap pra-pemrosesan data menggunakan Label Encoding, pelatihan model klasifikasi, evaluasi menggunakan confusion matrix dan classification report, serta visualisasi struktur pohon keputusan. Hasil riset menunjukkan bahwa warna menjadi atribut paling dominan dalam proses klasifikasi, diikuti oleh panjang hijab, sementara bahan dan motif berkontribusi dalam tingkat yang lebih rendah. Temuan ini diharapkan dapat menjadi acuan bagi pelaku industri fashion muslimah dalam memahami preferensi konsumen dan menyusun strategi berbasis data yang lebih efektif.